Estimation of domain of attraction for aperiodic sampled-data switched delayed neural networks subject to actuator saturation

G Chen, J Sun, J Xia - IEEE Transactions on Neural Networks …, 2019 - ieeexplore.ieee.org
In this paper, for the case of the asynchronous switching caused by that subsystem's
switching occuring during a sampling interval, the domain of attraction estimation problem is …

Dwell-time-dependent asynchronous mixed H∞ and passive control for discrete-time switched systems

S Zhang, H Nie - Nonlinear Analysis: Hybrid Systems, 2022 - Elsevier
This paper investigates the asynchronous mixed H∞ and passivity-based control problem
for discrete-time switched systems obeying dwell time constraint. Based on the improved …

Networked dual-mode adaptive horizon MPC for constrained nonlinear systems

P Li, Y Kang, YB Zhao, T Wang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article investigates the predictive control scheme and related stability issue for a class
of discrete-time perturbed nonlinear system with state and input constraints. First, we …

Stability analysis of switched systems with all subsystems unstable: A matrix polynomial approach

L Cheng, X Xu, Y Xue, H Zhang - ISA transactions, 2021 - Elsevier
This paper concentrates on the problem of continuous-time switched linear systems with all
subsystems unstable under average dwell time (ADT) criteria. Inspired by the matrix …

Asynchronous control of networked periodic piecewise linear systems under time-varying transmission delay

P Li, J Lam, C Fan - ISA transactions, 2024 - Elsevier
This paper studies the stability of networked periodic piecewise linear systems (NPPLSs) of
which communication channels are subject to a time-varying transmission delay. Under data …

Deep representation-based packetized predictive compensation for networked nonlinear systems

S Chen, Y Cao, Y Kang, B Sun, X Wang - Neural Computing and …, 2021 - Springer
The design of networked nonlinear control system is a very challenging problem due to the
coupling of the system uncertainties (eg, model accuracy, noise, nonlinearity) and network …